Real-time Implementation of l -key Pose Estimation for Driver Behavior Analysis

Abstract

Driver behavior analysis is one of the most important key function in future autonomous driving systems. An important performance indicator here is real-time quality because it is directly related to safety. Therefore, in this paper, definition of 11 key points for real-time driver posture estimation, design of convolutional neural network(CNN) architecture, and its hardware implementation are presented. As a implementation result, we can get under 10ms latency and with 1.25ms input image interval.